Triple
T9423700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Prosecution Service of France |
E227216
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
parquet
The parquet is the French public prosecutor’s office, responsible for representing the state in criminal proceedings and directing public prosecutions.
|
E797735
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: parquet | Statement: [Public Prosecution Service of France, alsoKnownAs, parquet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: parquet Context triple: [Public Prosecution Service of France, alsoKnownAs, parquet]
-
A.
Apache Parquet
Apache Parquet is a columnar storage file format optimized for efficient data compression and query performance in big data processing frameworks such as Apache Hadoop and Apache Spark.
-
B.
RCFile
RCFile is a columnar storage file format designed for efficient data processing and querying in Hadoop-based systems.
-
C.
HDF
HDF is the acronym for the Hungarian Defence Forces, the unified military organization responsible for Hungary’s national defense and participation in international security operations.
-
D.
IMPALA
IMPALA is a scalable deep reinforcement learning architecture designed for efficient distributed training of agents across many tasks and environments.
-
E.
Apache Tez
Apache Tez is a distributed data processing framework designed for building high-performance batch and interactive data workflows on Hadoop.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: parquet Triple: [Public Prosecution Service of France, alsoKnownAs, parquet]
Generated description
The parquet is the French public prosecutor’s office, responsible for representing the state in criminal proceedings and directing public prosecutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: parquet Target entity description: The parquet is the French public prosecutor’s office, responsible for representing the state in criminal proceedings and directing public prosecutions.
-
A.
Apache Parquet
Apache Parquet is a columnar storage file format optimized for efficient data compression and query performance in big data processing frameworks such as Apache Hadoop and Apache Spark.
-
B.
RCFile
RCFile is a columnar storage file format designed for efficient data processing and querying in Hadoop-based systems.
-
C.
HDF
HDF is the acronym for the Hungarian Defence Forces, the unified military organization responsible for Hungary’s national defense and participation in international security operations.
-
D.
IMPALA
IMPALA is a scalable deep reinforcement learning architecture designed for efficient distributed training of agents across many tasks and environments.
-
E.
Apache Tez
Apache Tez is a distributed data processing framework designed for building high-performance batch and interactive data workflows on Hadoop.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c29b4348190b45103e9ebd82aa4 |
completed | April 1, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107d677c08190a438659c170bab72 |
completed | April 4, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69d1086f03808190896186daa5857e39 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1090215308190beda7c0115020f5b |
completed | April 4, 2026, 12:50 p.m. |
Created at: March 30, 2026, 7:48 p.m.